can I get depthmap from recorded bag file (left / right IR images) by using SDK? about librealsense HOT 7 CLOSED

I believe that the C++ code that was converted is the script at the link below.

https://support.intelrealsense.com/hc/en-us/community/posts/360051896473-Get-Disparity-Map-of-D455-by-RealSense-SDK-2-0?page=1#community_comment_360014626993

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Hi @sunglyoungKim Are you aiming to generate a disparity map with Python and OpenCV, please? If you are then the information at #8572 may be helpful to you.

If it is a depth map that you are aiming for then the Python / OpenCV reference at the link below may suit your requirements.

https://support.intelrealsense.com/hc/en-us/community/posts/23846939164947-RealSense-D405-Depth-Map-Fidelity

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Thank you for replying to my questions so quickly.

Yes, it seems like I should follow #8572.

I have found this C++ code, too. Is it the same code that #8572 mentions about converting C++ code into Python?

https://github.com/IntelRealSense/librealsense/tree/master/wrappers/opencv/depth-filter

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@MartyG-RealSense
Hello,
Maybe I am wrong, but based on the links and #8572, it seems like I have to use OpenCV to generate disparity and depth maps from left and right IR images.

After I got the depth map, is it possible I can encode it correctly and point the dataset into this object?
config.enable_stream(rs.stream.depth, depth_res[0], depth_res[1], rs.format.z16, fps)

So that I can use all the align frames, post-processing filters, and make point cloud.

Thank you!

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Once you have generated images in OpenCV, #2634 advises about a method to convert back to the RealSense SDK's rs2::frame format with C++ code so that you can use the SDK's functions on the data. There is not a Python conversion of this code available but it might provide some useful insights about implementing a similar CV to SDK conversion in Python.

An alternative method of using OpenCV data for SDK instructions is to feed the OpenCV frames into the SDK's software-device interface, like the Python example at #12677

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@MartyG-RealSense

Thank you so much. I think I got all the information that I need.

If I need extra help, I will re-open this issue. Thank yo!

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You are very welcome. I'm pleased that I could help. Thanks very much for the update!

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